Persuasion in Recommender Systems

Westerink, J.; Bakker, C.; De Ridder, H.; and Siepe, H. Human factors in the design of a personalizable EPG: Preference-indication strategies, habit watching and trust. <i>Behaviour & Information Technology</i>, 21, 4 (2002), 249-258.

Widing, R.E., II, and Talarzyk, W.W. Electronic information/systems for consumers: An evaluation of computer-assisted formats in multiple decision environments. <i>Journal of Marketing Research</i>, 30 (May 1993), 125-141.

Yang, H.-D., and Yoo, Y. It's all about attitude: Revisiting the Technology Acceptance Model. <i>Decision Support Systems</i>, 38, 1 (2004), 19-31.

Agarwal, R., and Karahanna, E. Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. <i>MIS Quarterly</i>, 24, 4 (2000), 665-694.

Al-Gahtani, S.S., and King, M. Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology. <i>Behaviour & Information Technology</i>, 18, 4 (1999), 277-297.

Anderson, J.C., and Gerbing, D.W. Structural equation modeling in practice: A review and recommended two-step approach. <i>Psychological Bulletin</i>, 103, 3 (1988), 411-423.

Ansari, A., and Mela, C.F. E-customization. <i>Journal of Marketing Research</i>, 40 (May 2003), 131-145.

Ansari, A.; Essegaier, S.; and Kohli, R. Internet recommendation systems. <i>Journal of Marketing Research</i>, 37, 3 (2000), 363-375.

Atkinson, J.W. Motivational determinants of risk-taking behavior. <i>Psychological Review</i>, 64, 6 (1957), 359-372.

Barua, A.; Desai, P.; and Srivastava, R. Economic perspectives on digital marketing. In J. Wind and V. Mahajan (eds.), <i>Digital Marketing.</i> New York: Wiley, 2001, pp. 102-130.

Bechwati, N.N., and Xia, L. Do computers sweat? The impact of perceived effort of online decision aids on consumers' satisfaction with the decision process. <i>Journal of Consumer Psychology</i>, 13, 1-2 (2003), 139-148.

Bettman, J.R.; Luce, M.F.; and Payne, J.W. Constructive consumer choice processes. <i>Journal of Consumer Research</i>, 25, 3 (1998), 187-217.

Bilgic, M., and Mooney, R.J. Explaining recommendations: Satisfaction vs. promotion. In M. van Setten, S. McNee, and J. Konstan (eds.), <i>Beyond Personalization 2005—A Workshop on the Next Stage of Recommender Systems Research in Conjunction with the 2005 International Conference on Intelligent User Interface (IUI'05).</i> New York, ACM Press, 2005 <a target="_blank" href='http://www.grouplens.org/beyong2005/bp2005.pdf'>www.grouplens.org/beyong2005/bp2005.pdf</a>

Blythe, M.A.; Overbeeke, K.; Monk, A.F.; and Wright, P.C. <i>Funology—From Usability to Enjoyment.</i> Human-Computer Interaction Series 3. Dordrecht: Kluwer, 2003.

Bollen, K. <i>Structural Equations with Latent Variables.</i> New York: Wiley, 1989.

Brehm, S.S., and Kassin, S.M. <i>Social Psychology</i>, 3d ed. Boston: Houghton Mifflin, 1996.

Burke, R. Hybrid recommender systems: Survey and experiments. <i>User Modeling and User-Adapted Interaction</i>, 12, 4 (2002), 331-370.

Chau, P.Y.K., and Lai, V.S.K. An empirical investigation of the determinants of user acceptance of Internet banking. <i>Journal of Organizational Computing</i>, 13, 2 (2003), 123-145.

Cheung, K.-W.; Kwok, J.T.; Law, M.H.; and Tsui, K.-C. Mining customer product ratings for personalized marketing. <i>Decision Support Systems</i>, 35, 2 (2003), 231-243.

Cho, Y.H.; Kim, J.K.; and Kim, S.H. A personalized recommender system based on Web usage mining and decision tree induction. <i>Expert Systems with Applications</i>, 23, 3 (2002), 329-342.

Chou, C.P., and Bentler, P.M. Estimates and tests in structural equation modeling. In R.H. Hoyle (ed.), <i>Structural Equation Modeling.</i> Thousand Oaks, CA: Sage, 1996, pp. 37-55.

Crites, S.L.; Fabrigar, L.R.; and Petty, R.W. Measuring the affective and cognitive properties of attitudes: Conceptual and methodological issues. <i>Personality and Social Psychology Bulletin</i>, 20, 6 (1994), 619-634.

Davis, F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. <i>MIS Quarterly</i>, 13, 3 (1989), 319-340.

Dholakia, U.M., and Bagozzi, R.P. Consumer behavior in digital environments. In J. Wind and V. Mahajan (eds.), <i>Digital Marketing.</i> New York: Wiley, 2001, pp. 163-200.

Eihorn, H.J., and Hogarth, R.M. Behavioral decision theory: Processes of judgment and choice. <i>Annual Review of Psychology</i>, 32 (1981), 53-88.

Fogg, B.J. <i>Persuasive Technology.</i> San Francisco: Morgan Kaufmann, 2003.

Gershoff, A.D.; Muhkherjee, A.; and Mukhopadhyay, A. Consumer acceptance of online agent advice: Extremity and positivity effects. <i>Journal of Consumer Psychology</i>, 13, 1-2 (2003), 161-170.

Häubl, G., and Murray, K.B. Preference construction and persistence in digital marketplaces: The role of electronic recommendation agents. <i>Journal of Consumer Psychology</i>, 13, 1-2 (2003), 75-91.

Häubl, G., and Trifts, V. Consumer decision making in online shopping environments: The effects of interactive decision aids. <i>Marketing Science</i>, 19, 1 (2000), 4-21.

Herlocker, J.; Konstan, J.; and Riedl, J. Explaining collaborative filtering recommendations. In W.A. Kellogg and S. Whittaker (eds.), <i>Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work.</i> Philadelphia: ACM Press, 2000, pp. 241-250.

Hoffman, D., and Novak, T. Marketing in hypermedia computer-mediated environments: Conceptual foundations. <i>Journal of Marketing</i>, 60 (July 1996), 50-68.

Huang, M. Designing Website attributes to induce experiential encounters. <i>Computers in Human Behavior</i>, 19, 4 (2003), 425-442.

Jöreskog, K.G., and Sörbom, D. <i>LISREL 8.52.</i> Chicago: Scientific Software International, 2000.

Kivetz, R., and Simonson, I. Earning the right to indulge: Effort as a determinant of customer preferences toward frequency program rewards. <i>Journal of Marketing Research</i>, 39 (May 2002), 155-170.

Kivetz, R., and Simonson, I. The idiosyncratic fit heuristic: Effort advantage as a determinant of consumer response to loyalty programs. <i>Journal of Marketing Research</i>, 40 (November 2003), 454-467.

Klein, N.M., and Yadav, M.S. Context effects on effort and accuracy in choice: An enquiry into adaptive decision making. <i>Journal of Consumer Research</i>, 15 (March 1989), 411-421.

Kramer, T. The effect of preference measurement on preference construction and responses to customized offers. Ph.D. dissertation, Stanford University, 2003.

Kruger, J.; Wirtz, D.; Van Boven, L.; and Altermatt, T.W. The effort heuristic. <i>Journal of Experimental Social Psychology</i>, 40, 1 (2004), 91-98.

Kwak, M. Web sites learn to make smarter suggestions. <i>MIT Sloan Management Review</i>, 42, 4 (2001), 17.

MacKenzie, S.B. Opportunities for improving consumer research through latent variable structural equation modeling. <i>Journal of Consumer Research</i>, 28 (June 2001), 159-166.

Mandel, N., and Johnson, E.J. When Web pages influence choice: Effects of visual primes on experts and novices. <i>Journal of Consumer Research</i>, 29 (September 2002), 235-245.

Mirza, B.J.; Keller, B.J.; and Ramakrishnan, N. Studying recommendation algorithms by graph analysis. <i>Journal of Intelligent Information Systems</i>, 20, 2 (2003), 131-160.

Moon, Y. Personalization and personality: Some effects of customizing message style based on consumer personality. <i>Journal of Consumer Psychology</i>, 12, 4 (2002), 313-326.

Morwitz, V.G.; Johnson, E.; and Schmittlein, D. Does measuring intent change behavior? <i>Journal of Consumer Research</i>, 20, 1 (1993), 46-61.

Murray, K.B., and Häubl, G. Processes of preference construction in agent-assisted online shopping. In C.P. Haugtvedt, K.A. Machleit, and R.F. Yalch (eds.), <i>Online Consumer Psychology.</i> Mahwah, NJ: Erlbaum, 2005, pp. 265-283.

Murthi, B.P.S., and Sarkar, S. The role of management sciences in research on personalization. <i>Management Science</i>, 49, 10 (2003), 1344-1362.

Nass, C., and Moon, Y. Machines and mindlessness: Social responses to computers. <i>Journal of Social Issues</i>, 56, 1 (2000), 81-103.

Novak, T.; Hoffman, D.; and Duhachek, A. The influence of goal-directed and experiential activities on online flow experiences. <i>Journal of Consumer Psychology</i>, 13, 1-2 (2003), 3-16.

Nysveen, H., and Pedersen, P.E. An exploratory study of customers' perception of company Web sites offering various interactive applications: Moderating effects of customers' Internet experience. <i>Decision Support Systems</i>, 37, 1 (2004), 137-150.

O'Keefe, D.J. <i>Persuasion: Theory & Research.</i> 2d ed. Thousand Oaks, CA: Sage, 2002.

Paese, P.W., and Sniezek, J.A. Influences on the appropriateness of confidence in judgment: Practice, effort, information, and decision-making. <i>Organizational Behavior and Human Decision Processes</i>, 48, 1 (1991), 100-130.

Petty, R.E., and Cacioppo, J.T. Involvement and persuasion: Tradition versus integration. <i>Psychological Bulletin</i>, 107, 3 (1990), 367-374.

Petty, R.E.; Cacioppo, J.T.; and Goldman, R. Personal involvement as a determinant of argument-based persuasion. <i>Journal of Personality and Social Psychology</i>, 41, 5 (1981), 847-855.

Pretschner, A., and Gauch, S. Personalization on the Web. Technical Report. Lawrence: University of Kansas, Information and Telecommunication Technology Center, 1999.

Ramakrishnan, N.; Rosson, M.B.; and Carroll, J.M. Explaining scenarios for information personalization. Technical Report cs.HC/0111007, Computing Research Repository (CoRR), August 2001.

Rashid, A.M.; Albert, I.; Cosley, D.; Lam, S.K.; McNee, S. M.; Konstan, J.A.; and Riedl, J. Getting to know you: Learning new user preferences in recommender systems. In K. Hammong, Y. Gil, and D. Leake (eds.), <i>Proceedings of the 2002 International Conference on Intelligent User Interfaces</i>. New York: ACM Press, 2002, pp. 127-134.

Reeves, B., and Nass, C. <i>The Media Equation</i>. Stanford, CA: CSLI Publications, 1996.

Schafer, J.B.; Konstan, J.; and Riedl, J. Recommender systems in e-commerce. In S. Feldman and M. Wellman (eds.), <i>Proceedings of the 1999 E-Commerce Conference</i>. New York: ACM, 1999, pp. 158-166.

Shavitt, S., and Brock, T.C. <i>Persuasion: Psychological Insights and Perspectives</i>. Needham Heights, MA: Allyn & Bacon, 1994.

Shedroff, N. <i>Experience Design</i>. Indianapolis: New Riders, 2001.

Shugan, S.M. The cost of thinking. <i>Journal of Consumer Research</i>, 7, 2 (1980), 99-111.

Simonson, I. Determinants of customers' responses to customized offers: Conceptual framework and research propositions. <i>Journal of Marketing</i>, 69 (January 2005), 32-45.

Sinha, R., and Swearingen, K. The role of transparency in recommender systems. In L. Terveen (ed.), <i>Proceedings of the ACM CHI 2002 Conference on Human Factors in Computing Systems</i>. New York: ACM, 2002, pp. 830-831.

Spiekermann, S., and Paraschiv, C. Motivating human-agent interaction: Transferring insights from behavioral marketing to interface design. <i>Journal of Electronic Commerce Research</i>, 2 (2002), 255-285.

Swearingen, K., and Sinha, R. Beyond algorithms: An HCI perspective on recommender systems. In J. Herlocker (ed.), <i>Proceedings of the ACM SIGIR 2001 Workshop on Recommender Systems</i>. New York: ACM, 2001, pp. 24-33.

Tam, K.Y., and Ho, S.Y. Web personalization as a persuasion strategy: An elaboration likelihood model perspective. <i>Information Systems Research</i>, 16, 3 (2005), 271-291.

Todd, P., and Benbasat, I. The use of information in decision making: An experimental investigation of the impact of computer-based decision aids. <i>MIS Quarterly</i>, 16, 3 (1992), 373-393.

Todd, P., and Benbasat, I. Inducing compensatory information processing through decision aids that facilitate effort reduction: An experimental assessment. <i>Journal of Behavioral Decision Making</i>, 13, 1 (2000), 91-106.

Venkatesh, V. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the Technology Acceptance Model. <i>Information Systems Research</i>, 11, 4 (2000), 342-365.

Venkatesh, V., and Davis, F.D. A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. <i>Management Science</i>, 46, 2 (2000), 186-204.

Wang, S.; Beatty, S.E.; and Foxx, W. Signaling the trustworthiness of small online retailers. <i>Journal of Interactive Marketing</i>, 18, 1, (2004), 53-69.

Wang, W., and Benbasat, I. Trust in and adoption of online recommendation agents. <i>Journal of the Association for Information Systems</i>, 6, 3 (2005), 72-101.